Iveda Solutions (IVDA) Return on Capital Employed [ROCE] (2010 - 2026)
Iveda Solutions (IVDA) reported Return on Capital Employed [ROCE] of -51.08% for Q2 2026, up 119.03 percentage points from -170.10% a year earlier and up 2.85 percentage points from the prior quarter.
Iveda Solutions (IVDA) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Iveda Solutions posted Return on Capital Employed [ROCE] of -71.13%, up 47.02 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a three-year change of +5.88 percentage points (FY2022 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -118.15% in FY2024 (-55.28 pp), -62.87% in FY2023 (+14.14 pp) and -77.02% in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q3 2023.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last four quarters, with an average year-over-year change of +6.45 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q2 2023 (a gain of 120.50 percentage points); the low point was Q2 2025 (a drop of 69.90 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -53.93% (Q1 2026), -66.73% (Q4 2025) and -88.48% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 262.63 Bn | 247.70 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 232.03 Bn | 212.47 Bn | 1.10 Bn | -1.66% |
| 3 | Snowflake | 102.55 Bn | 89.87 Bn | 1.04 Bn | -25.24% |
| 4 | Fortinet | 93.46 Bn | 77.71 Bn | 1.64 Bn | 41.17% |
| 5 | Datadog | 66.49 Bn | 47.03 Bn | 959.92 Mn | 1.64% |
| 6 | Zscaler | 31.38 Bn | 17.54 Bn | 689.22 Mn | -2.95% |
| 7 | Okta | 30.56 Bn | 22.72 Bn | 641.00 Mn | 3.21% |
| 8 | MongoDB | 26.92 Bn | 17.39 Bn | 569.77 Mn | -0.47% |
| 9 | Baidu | 26.59 Bn | -46.85 Bn | 1.80 Bn | -1.85% |
| 10 | Iveda Solutions | 250,380.60 | -18.82 Mn | 438,562.00 | -51.08% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -51.08% |
| Mar 31, 2026 | -53.93% |
| Dec 31, 2025 | -66.73% |
| Sep 30, 2025 | -88.48% |
| Jun 30, 2025 | -170.10% |
| Mar 31, 2025 | -142.09% |
| Dec 31, 2024 | -84.40% |
| Sep 30, 2024 | -89.88% |
| Jun 30, 2024 | -100.21% |
| Mar 31, 2024 | -96.88% |
| Dec 31, 2023 | -73.41% |
| Sep 30, 2023 | -41.34% |
| Jun 30, 2023 | -40.14% |
| Mar 31, 2023 | -38.35% |
| Dec 31, 2022 | -36.86% |
| Sep 30, 2022 | -57.89% |
| Jun 30, 2022 | -160.64% |
| Sep 30, 2015 | -620.64% |
| Jun 30, 2015 | -461.99% |
| Mar 31, 2015 | -708.55% |
Iveda Solutions Return on Capital Employed [ROCE] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=IVDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "IVDA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=IVDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();